Distributed robust filtering for cyber-physical systems under periodic denial-of-service jamming attacks

作者：Fengzeng Zhu, Shuchen Ding, Yingqi Zuo, Li Peng · 发表于：Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · 年份：2022 · DOI：10.1177/09596518221111605 · 被引用次数：3 · 研究领域：Smart Grid Security and Resilience、Neural Networks Stability and Synchronization、Stability and Control of Uncertain Systems

This article focuses on a class of distributed security estimation for cyber-physical systems against denial-of-service attacks. First, an energy-constrained periodic denial-of-service jamming attack model and a Markov stochastic process-based switching topology model are developed. Then, Bernoulli random variables are applied to indicate whether measurement and estimation between nodes are successfully transmitted, where the data loss phenomenon is subject to denial-of-service attacks and inherent network properties. With the help of Lyapunov functions and linear matrix inequalities, sufficient conditions are established to guarantee that the error system satisfies exponentially mean-square stability and robust [Formula: see text] performance. Finally, two numerical simulation examples prove the effectiveness of the proposed distributed filtering method.